Wang Jie, Wang Jing, Jiang Yang, Liu Yaxian, Bao Rantong, Wang Hong, Huang Yan, An Jin, Wang Xiaohua, Wang Fei
Department of Genetics, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot, China.
School of Public Health, Peking University, Beijing, China.
Front Psychiatry. 2025 Jun 4;16:1582368. doi: 10.3389/fpsyt.2025.1582368. eCollection 2025.
Prenatal diagnostics is a crucial process for ensuring the health of both pregnant women and their fetuses. However, the participation rate of high-risk pregnant women in prenatal diagnostics is often influenced by various factors, including anxiety, depression, and lack of family support. In recent years, mobile health (mHealth) interventions have become an important tool in improving maternal health management, especially in terms of behavior change. The Behavior Change Wheel (BCW) theory and the Family Health Theory (FHT) have been applied in various health interventions, but there are limited studies focusing on prenatal diagnostics.
The study aims to evaluate the impact of a mobile health intervention based on the Behavior Change Wheel theory and Family Health Theory on prenatal diagnostic participation rates and pregnancy outcomes in high-risk pregnant women, while exploring the role of family member involvement in improving maternal psychological health and pregnancy outcomes.
The study outlines a single-blind, interventional, randomized controlled trial conducted at the Inner Mongolia Maternity and Child Health Care Hospital. A total of 58 high-risk pregnant women will be included and randomly assigned to either the intervention group (29 participants) or the standard care group (29 participants). The intervention group will receive a 12-week mHealth intervention via the WeChat platform, including health education, emotional support, behavioral feedback, and family member participation. The standard care group will receive standard prenatal care. Primary outcomes include prenatal diagnostic needs and pregnancy outcomes, while secondary outcomes include health knowledge, anxiety and depression levels, decision conflict, and other factors. This study uses IBM SPSS Statistics 24.0 for data analysis, employing descriptive statistics, normality tests, Mann-Whitney U, Wilcoxon, and chi-square tests.
The study proposes that a mobile health intervention based on the Behavior Change Wheel theory and Family Health Theory may effectively increase prenatal diagnostic participation and improve the psychological health and pregnancy outcomes of high-risk pregnant women. The active participation and emotional support of family members are expected to be key components in achieving these improvements. This research provides new insights and evidence for the application of mHealth interventions in prenatal screening.
产前诊断是确保孕妇及其胎儿健康的关键过程。然而，高危孕妇参与产前诊断的比率常常受到多种因素的影响，包括焦虑、抑郁以及缺乏家庭支持。近年来，移动健康（mHealth）干预已成为改善孕产妇健康管理的重要工具，尤其是在行为改变方面。行为改变轮（BCW）理论和家庭健康理论（FHT）已应用于各种健康干预措施，但专注于产前诊断的研究有限。
本研究旨在评估基于行为改变轮理论和家庭健康理论的移动健康干预对高危孕妇产前诊断参与率和妊娠结局的影响，同时探讨家庭成员参与在改善孕产妇心理健康和妊娠结局中的作用。
该研究概述了在内蒙古妇幼保健院进行的一项单盲、干预性、随机对照试验。总共将纳入58名高危孕妇，并随机分配到干预组（29名参与者）或标准护理组（29名参与者）。干预组将通过微信平台接受为期12周的移动健康干预，包括健康教育、情感支持、行为反馈以及家庭成员参与。标准护理组将接受标准产前护理。主要结局包括产前诊断需求和妊娠结局，次要结局包括健康知识、焦虑和抑郁水平、决策冲突及其他因素。本研究使用IBM SPSS Statistics 24.0进行数据分析，采用描述性统计、正态性检验、曼-惠特尼U检验、威尔科克森检验和卡方检验。
该研究提出，基于行为改变轮理论和家庭健康理论的移动健康干预可能有效提高产前诊断参与率，并改善高危孕妇的心理健康和妊娠结局。家庭成员的积极参与和情感支持预计将是实现这些改善的关键因素。本研究为移动健康干预在产前筛查中的应用提供了新的见解和证据。
